{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1a7f076d",
   "metadata": {},
   "source": [
    "# 高中体测数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b8383001",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7b623f4",
   "metadata": {},
   "source": [
    "## 对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5ba18a27",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.23</td>\n",
       "      <td>68</td>\n",
       "      <td>8.27</td>\n",
       "      <td>72</td>\n",
       "      <td>208</td>\n",
       "      <td>66</td>\n",
       "      <td>10</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>100</td>\n",
       "      <td>176</td>\n",
       "      <td>69.500000</td>\n",
       "      <td>22.440001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.19</td>\n",
       "      <td>40</td>\n",
       "      <td>9.55</td>\n",
       "      <td>50</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>15</td>\n",
       "      <td>80</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>7042</td>\n",
       "      <td>100</td>\n",
       "      <td>177</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>24.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.25</td>\n",
       "      <td>100</td>\n",
       "      <td>7.50</td>\n",
       "      <td>80</td>\n",
       "      <td>252</td>\n",
       "      <td>90</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>13</td>\n",
       "      <td>85</td>\n",
       "      <td>5755</td>\n",
       "      <td>100</td>\n",
       "      <td>181</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>19.840000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.39</td>\n",
       "      <td>62</td>\n",
       "      <td>7.81</td>\n",
       "      <td>76</td>\n",
       "      <td>208</td>\n",
       "      <td>66</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>11</td>\n",
       "      <td>76</td>\n",
       "      <td>5688</td>\n",
       "      <td>100</td>\n",
       "      <td>172</td>\n",
       "      <td>51.700001</td>\n",
       "      <td>17.480000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0     1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1     1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2     1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3     1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4     1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "..   .. ..      ...        ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "472  17  男     4.23         68   8.27       72  208     66    10      72    0   \n",
       "473  17  男     5.19         40   9.55       50  210     66    15      80    6   \n",
       "474  17  男     3.25        100   7.50       80  252     90    13      76   13   \n",
       "475  17  男     4.39         62   7.81       76  208     66    14      78   11   \n",
       "476  17  男     0.00          0   0.00        0    0      0     0       0    0   \n",
       "\n",
       "     男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0        0  2785      62  170  72.599998  25.120001  \n",
       "1       60  3133      68  174  52.700001  17.410000  \n",
       "2        0  3901      80  169  46.500000  16.280001  \n",
       "3        0  4946     100  183  79.699997  23.799999  \n",
       "4       68  3538      74  171  54.700001  18.709999  \n",
       "..     ...   ...     ...  ...        ...        ...  \n",
       "472      0  4647     100  176  69.500000  22.440001  \n",
       "473     50  7042     100  177  76.000000  24.260000  \n",
       "474     85  5755     100  181  65.000000  19.840000  \n",
       "475     76  5688     100  172  51.700001  17.480000  \n",
       "476      0     0       0    0   0.000000   0.000000  \n",
       "\n",
       "[477 rows x 17 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male = pd.read_excel(r'C:/Users/LouisLou/Desktop/matplotlib作业/体测分数_男生.xls')\n",
    "male"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "79be54a9",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.cut(male['男1000米跑分数'],bins=3).value_counts()\n",
    "\n",
    "plt.figure(figsize=(9,12))\n",
    "plt.rcParams['font.size'] = 18\n",
    "plt.rcParams['font.family'] = 'SimHei'\n",
    "\n",
    "from matplotlib import gridspec\n",
    "gs = gridspec.GridSpec(2,1)\n",
    "plt.subplot(gs[0])\n",
    "\n",
    "plt.pie(data,labels=data.index,autopct='%.2f%%',explode=[0,0,0.2],shadow=True)\n",
    "_ = plt.title('男1000米跑成绩分布',fontsize = 28)\n",
    "\n",
    "data = pd.cut(male['男引体分数'],bins=3).value_counts()\n",
    "plt.subplot(gs[1])\n",
    "plt.pie(data,labels=data.index,autopct='%.2f%%',explode=[0,0,0.1],shadow=True)\n",
    "_ = plt.title('男引体成绩分布',fontsize = 28)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6f1b5ae",
   "metadata": {},
   "source": [
    "## 对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "54bcd048",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.51</td>\n",
       "      <td>78</td>\n",
       "      <td>9.60</td>\n",
       "      <td>68</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>24</td>\n",
       "      <td>95</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>2255</td>\n",
       "      <td>70</td>\n",
       "      <td>158.0</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>19.629999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.00</td>\n",
       "      <td>76</td>\n",
       "      <td>10.18</td>\n",
       "      <td>64</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>13</td>\n",
       "      <td>72</td>\n",
       "      <td>36</td>\n",
       "      <td>72</td>\n",
       "      <td>2937</td>\n",
       "      <td>85</td>\n",
       "      <td>161.0</td>\n",
       "      <td>55.700001</td>\n",
       "      <td>21.490000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>80</td>\n",
       "      <td>10.18</td>\n",
       "      <td>64</td>\n",
       "      <td>152</td>\n",
       "      <td>62</td>\n",
       "      <td>15</td>\n",
       "      <td>76</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>2592</td>\n",
       "      <td>76</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.599998</td>\n",
       "      <td>17.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>74</td>\n",
       "      <td>9.67</td>\n",
       "      <td>68</td>\n",
       "      <td>165</td>\n",
       "      <td>70</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>1829</td>\n",
       "      <td>60</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.599998</td>\n",
       "      <td>18.379999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>50</td>\n",
       "      <td>9.09</td>\n",
       "      <td>74</td>\n",
       "      <td>180</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>2962</td>\n",
       "      <td>85</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>21.070000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0     1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1     1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2     1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3     1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4     1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "..   .. ..     ...       ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "588  17  女    3.51        78   9.60       68  150     60    24      95   41   \n",
       "589  17  女    4.00        76  10.18       64  150     60    13      72   36   \n",
       "590  17  女    3.45        80  10.18       64  152     62    15      76   35   \n",
       "591  17  女    4.01        74   9.67       68  165     70    10      68   41   \n",
       "592  17  女    4.48        50   9.09       74  180     80    10      68   46   \n",
       "\n",
       "     女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0       85  3775     100  163.0  51.299999  19.309999  \n",
       "1       66  3683     100  163.0  66.599998  25.070000  \n",
       "2       76  3331     100  157.0  60.000000  24.340000  \n",
       "3       85  3701     100  160.0  50.700001  19.799999  \n",
       "4       70  3592     100  167.0  63.900002  22.910000  \n",
       "..     ...   ...     ...    ...        ...        ...  \n",
       "588     78  2255      70  158.0  49.000000  19.629999  \n",
       "589     72  2937      85  161.0  55.700001  21.490000  \n",
       "590     72  2592      76  165.0  48.599998  17.850000  \n",
       "591     78  1829      60  154.0  43.599998  18.379999  \n",
       "592     85  2962      85  162.0  55.299999  21.070000  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female = pd.read_excel(r'C:/Users/LouisLou/Desktop/matplotlib作业/体测分数_女生.xls')\n",
    "female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "373aa7a5",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.cut(female['女800米跑分数'],bins = [0,60,80,90,100],labels=['不及格','及格','良好','优秀']).value_counts()\n",
    "color_map = {'不及格':'red','及格':'#3c7f99','良好':'#3c7f99','优秀':'#3c7f99'}\n",
    "\n",
    "plt.figure(figsize=(14,6))\n",
    "plt.rcParams['font.size'] = 18\n",
    "plt.rcParams['font.family'] = 'SimHei'\n",
    "\n",
    "gs = gridspec.GridSpec(1,2)\n",
    "\n",
    "plt.subplot(gs[0])\n",
    "bars = plt.bar(x=data.index,height=data,width=0.4,color=data.index.map(color_map))\n",
    "for i,bar in enumerate(bars):\n",
    "    h = bar.get_height()\n",
    "    w = bar.get_width()\n",
    "    plt.text(x=bar.get_x()+w/2,y=h+3,s=data[i],ha='center',fontsize=14)\n",
    "plt.title('女800米跑成绩分布',fontsize = 28,pad=20)\n",
    "\n",
    "data = pd.cut(female['女跳远分数'],bins = [0,60,80,90,100],labels=['不及格','及格','良好','优秀']).value_counts()\n",
    "plt.subplot(gs[1])\n",
    "bars = plt.bar(x=data.index,height=data,width=0.4,color=data.index.map(color_map))\n",
    "for i,bar in enumerate(bars):\n",
    "    h = bar.get_height()\n",
    "    w = bar.get_width()\n",
    "    plt.text(x=bar.get_x()+w/2,y=h+3,s=data[i],ha='center',fontsize=14)\n",
    "_ = plt.title('女跳远成绩分布',fontsize = 28,pad=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "985425a6",
   "metadata": {},
   "source": [
    "## 使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "be6f2125",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     355\n",
       "超重      58\n",
       "肥胖      38\n",
       "低体重     15\n",
       "Name: BMI, dtype: int64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "men = pd.cut(male['BMI'],bins = [0,16.5,23.3,26.4,100],labels=['低体重','正常','超重','肥胖']).value_counts()\n",
    "men"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "021d3866",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     449\n",
       "超重      82\n",
       "肥胖      44\n",
       "低体重     11\n",
       "Name: BMI, dtype: int64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "women = pd.cut(female['BMI'],bins = [0,16.5,22.8,25.3,100],labels=['低体重','正常','超重','肥胖']).value_counts()\n",
    "women"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "91462206",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,9))\n",
    "plt.rcParams['font.size'] = 18\n",
    "plt.rcParams['font.family'] = 'SimHei'\n",
    "\n",
    "plt.pie(men,radius=1,autopct='%.2f%%',pctdistance=0.85,labels=men.index,\n",
    "        wedgeprops={'linewidth':5,'edgecolor':'white','width':0.3})\n",
    "\n",
    "plt.pie(women,radius=0.7,autopct='%.2f%%',pctdistance=0.75,\n",
    "       wedgeprops={'linewidth':3,'edgecolor':'white'})\n",
    "\n",
    "_ = plt.title('男女生体重指数',fontsize = 28)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17bb7991",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
